cs.AI（2024-08-05）

📊 共 15 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (11 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (4 🔗1)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (11 篇)

#题目一句话要点标签🔗⭐
1 Is Large Language Model Good at Database Knob Tuning? A Comprehensive Experimental Evaluation 利用大语言模型进行数据库旋钮调优：一项全面的实验评估 large language model chain-of-thought
2 VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge VisionUnite：临床知识增强的眼科视觉-语言基础模型，提升诊断能力。 foundation model ✅
3 Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models 提出基于知识图谱和大型语言模型的供应链可见性增强框架，无需直接信息共享。 large language model
4 Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective CareerAgent：基于大语言模型自主Agent的Holacracy组织行为生成式模拟框架 large language model
5 Swiss Cheese Model for AI Safety: A Taxonomy and Reference Architecture for Multi-Layered Guardrails of Foundation Model Based Agents 针对大模型Agent，提出基于瑞士奶酪模型的运行时多层安全防护体系 foundation model
6 AppAgent v2: Advanced Agent for Flexible Mobile Interactions AppAgent v2：用于灵活移动交互的先进Agent框架 large language model multimodal
7 LiCoEval: Evaluating LLMs on License Compliance in Code Generation LiCoEval：评估大型语言模型在代码生成中许可证合规性的基准 large language model
8 SLO-aware GPU Frequency Scaling for Energy Efficient LLM Inference Serving 提出throttLL'eM框架，通过动态调整GPU频率和实例大小，实现LLM推理服务在SLO约束下的节能优化。 large language model
9 Development of REGAI: Rubric Enabled Generative Artificial Intelligence 提出基于Rubric增强的生成式人工智能REGAI，提升LLM在评估任务中的性能 large language model
10 From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future 综述LLM与LLM-based Agent在软件工程中的应用、挑战与未来方向 large language model
11 SpecRover: Code Intent Extraction via LLMs SpecRover：利用LLM进行代码意图提取，提升自动程序改进效果 large language model

🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗⭐
12 Multistain Pretraining for Slide Representation Learning in Pathology 提出 Madeleine：一种基于多染色病理切片预训练的Slide Representation Learning方法。 representation learning multimodal ✅
13 Text Conditioned Symbolic Drumbeat Generation using Latent Diffusion Models 提出基于潜在扩散模型的文本条件符号鼓点生成方法，提升鼓点生成质量与文本相关性。 contrastive learning multimodal
14 Explaining Reinforcement Learning: A Counterfactual Shapley Values Approach 提出反事实夏普利值方法以增强强化学习的可解释性 reinforcement learning
15 Spin glass model of in-context learning 将Transformer线性注意力机制映射到自旋玻璃模型，解释上下文学习能力 linear attention large language model

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